Product
Claude Opus 4.6: scheda tecnica, prezzi API e dati
Updated
AnthropicAI Models & LLMs★ Highest score in this comparison
81.9/100
#1 of 3 · AI Models & LLMsThe same yardstick for every verified model in the category.
Anthropic Claude Opus 4.6 scores highest among the models we verified.
Where it leads
- context window
- SWE-bench Verified (resolved %)
Where it trails
- Output cost per 1M tokens
- Input cost per 1M tokens
- SWE-bench accuracy
- 75.6%
- Context window
- 1M tokens
- Input cost per 1M tokens
- $5.00
- Output cost per 1M tokens
- $25.00
Data sheet · Claude Opus 4.6
Every figure is quoted from the vendor's official page, with the date we read it. If a row is missing, the source does not state it and we do not estimate it.
Performance
- SWE-bench accuracy
- 75.6%Rank 2 of 5
What it means and the source
How many real programming problems (issues of open source projects) it solves on its own in the independent SWE-bench Verified ranking. The higher, the better it writes and fixes code.
swebench.comOpens the source in a new tab Oct 28, 2026
Memory and answer length
- Context window
- 1M tokensRank 8 of 21
What it means and the source
How much text the model keeps in view in a single request, question and answer included. It matters for long documents and whole code projects. A token is a fragment of a word.
platform.claude.comOpens the source in a new tab Oct 23, 2026
API prices
- Input cost per 1M tokens
- $5.00Rank 18 of 21
What it means and the source
What it costs to have the model read a million tokens (your question, the documents, the code). It is the official list price, before discounts.
platform.claude.comOpens the source in a new tab Oct 23, 2026- Cached input cost per 1M tokens
- $0.50Rank 18 of 20
What it means and the source
The reduced price when part of the request is identical to one sent recently, for example the same instructions or the same document: the vendor keeps it in memory and charges less for it.
platform.claude.comOpens the source in a new tab Oct 23, 2026- Output cost per 1M tokens
- $25.00Rank 18 of 21
What it means and the source
What a million tokens written by the model cost. It usually costs more than the input and is the figure to watch when answers are long.
platform.claude.comOpens the source in a new tab Oct 23, 2026
Where it stands · Claude Opus 4.6
The same verified figures, next to those of the other catalogue models. Tap a model for the head-to-head.
Questions and answers
Claude Opus 4.6: how much does it cost through the API?
The official list price is $5.00 per 1M input tokens and $25.00 per 1M output tokens.
Claude Opus 4.6: how much text can it read at once?
The context window is 1M tokens.
Claude Opus 4.6: how good is it at coding?
It solves 75.6% of the problems in SWE-bench Verified, the independent ranking of real programming problems.
In sintesi
Su Anthropic Claude Opus 4.6 il dato che conta davvero è SWE-bench Verified (% risolti): 75.6. L’ho preso da https://www.swebench.com/verified. Fra i 5 che ho controllato, uno solo fa meglio. L’altro numero da guardare è Finestra di contesto: 1M token. Sui campi che si possono misurare arriva a 81.9/100.
I numeri di Anthropic Claude Opus 4.6
Li ho messi in ordine di importanza, con il valore e la posizione rispetto agli altri che ho controllato.
SWE-bench Verified (% risolti): 75.6. Posizione 2 su 5 che ho confrontato.
Finestra di contesto: 1M token. Posizione 8 su 21 che ho confrontato.
Costo output per 1M token: 25. Posizione 18 su 21 che ho confrontato.
Costo input per 1M token: 5. Posizione 18 su 21 che ho confrontato.
Costo input in cache per 1M token (USD): 0.5. Posizione 2 su 20 che ho confrontato.
A chi è consigliato
Guarda altrove se quello che conta per te è SWE-bench Verified (% risolti): qui siamo a 75.6, e un prodotto fa meglio.
Approfondisci
Fonti
Ask Sir Compare:Explain these numbers to me
How I worked out the score
The same yardstick for every product in this category. Below you can see how much each criterion weighs and what it contributed.
Anthropic Claude Opus 4.6: 81.9/100
- SWE-bench Verified (resolved %): 100/100 × 0.55 = 55
- Output cost per 1M tokens (USD): 8.8/100 × 0.15 = 1.3
- Context window (k tokens): 100/100 × 0.25 = 25
- Input cost per 1M tokens (USD): 12/100 × 0.05 = 0.6
Reviews and tests
Anthropic Claude Opus 4.6
Reviews and tests · Anthropic Claude Opus 4.6
Reviews are not available yet.
What changed
- Page updated
- Page updated
- Page updated

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